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Test documentation Tests as Documentation

It’s important that test authors keep in mind the inherent authority their tests possess. After all, an application’s tests are sometimes the first lines of code a new developer will read when acclimating to a new codebase. Tests aren't the only kind of documentation you need, but automated tests in a CI environment can provide a lot of useful information.

Nelson Nogales's picture Nelson Nogales
Squares in organized rows next to scattered squares The Difference between Structured and Unstructured Exploratory Testing

There are a lot of misunderstandings about exploratory testing. In some organizations exploratory testing is done unprofessionally and in an unstructured way—there's no preparation, no test strategy, and no test design or coverage techniques. This leads to blinds spots in the testing, as well as regression issues. Here's how one company made its exploratory testing more structured.

Gearbox for a car with a manual transmission Shifting Your Testing: When to Switch Gears

Shifting your testing either left or right can meet different needs and improve different aspects. How do you know whether to make a change? Let your test cycles be your guide. Just like when driving a car with a manual transmission, if the engine starts to whine or you’re afraid you’re about to stall out, switching gears may be just what you need.

Maximilian Bauer's picture Maximilian Bauer
Collection of random numbers When a Number Is Not a Number: Benefits of Random Test Generators

We like to hope that we will consider all possible situations when devising our tests, but it’s all too easy to overlook the unusual cases. That’s the benefit of random test generators. We might feel comfortable after testing a few dozen test cases; these tools generate hundreds. With more stuff getting tossed at the wall, there is a greater likelihood that something interesting sticks.

Steve Poling's picture Steve Poling
Brain made out of a circuit board Leveraging Machine Learning to Predict Test Coverage

Test coverage is an important metric within test management, and as technology evolves, we‘re able to leverage new trends to predict coverage. Weka, an open source suite of machine learning software, can take your test management beyond spreadsheets to the latest AI technologies, letting you predict your test coverage earlier with greater accuracy.

Bhavani Ramasubbu's picture Bhavani Ramasubbu
Group of people holding trophy that says "2018" Top 10 StickyMinds Articles of 2018

With the rise of technology like AI and practices like DevOps, teams everywhere are looking for ways to speed up testing without sacrificing quality. The articles in 2018 reflect that, with the most popular topics being shifting testing left, optimizing tests for continuous integration, and the future of software testing. If you're looking for cutting-edge testing techniques, check out this roundup.

Beth Romanik's picture Beth Romanik
Woman holding a magnifying glass to her eye Become a Data Detective

Rapid changes in data availability and analysis tools are leading to evolving expectations for the data analyst role. We can do much more than just generate reports; we have the opportunity to not only process data, but convert it into understandable information and use the knowledge revealed by our work to help change happen.

Nels Hoenig's picture Nels Hoenig
Testers looking at graphs of performance test results Responsibly Reporting Performance Test Results: Trends, Noise, and Uncertainty

In order for performance test results to have value, you should report them in context. There are two main considerations: How do these compare to previous results? And how can we provide early reports on performance while emphasizing that these are preliminary results that may change significantly as we progress? Here are some ideas for responsible reporting.

Michael Stahl's picture Michael Stahl
Gauge with a needle in the green zone, showing good performance 7 Simple Tips for Better Performance Engineering

Rigorous practices to reinforce performance and resilience, and testing continuously for these aspects, are great ways to catch a problem before it starts. And as with many aspects of testing, the quality of the performance practice is much more important than the quantity of tests being executed. Here are seven simple tips to drive an efficient performance and resilience engineering practice.

Franck Jabbari's picture Franck Jabbari
Testing feedback loop 5 Key Factors to Achieve Agile Testing in DevOps

Part of the path to DevOps requires adoption of agile methodologies. What does it mean for testing when you switch from the traditional waterfall model, with a few long release cycles per year, to the agile model, with changes occurring every two weeks? Here are five key factors to achieve the agile software testing necessary in DevOps.

Denise Rigoni's picture Denise Rigoni

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